A systematic comparison of various statistical alignment models
Computational Linguistics
Optimal constituent alignment with edge covers for semantic projection
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Cross-linguistic projection of role-semantic information
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Word alignment via quadratic assignment
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Labeling chinese predicates with semantic roles
Computational Linguistics
LIBLINEAR: A Library for Large Linear Classification
The Journal of Machine Learning Research
Adding semantic roles to the chinese treebank
Natural Language Engineering
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Two languages are better than one (for syntactic parsing)
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Improving Word Alignment Using Alignment of Deep Structures
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
Semantic roles for SMT: a hybrid two-pass model
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Using parallel PropBanks to enhance word-alignments
ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop
Synchronous tree adjoining machine translation
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Semantic role labeling using complete syntactic analysis
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Chasing the ghost: recovering empty categories in the Chinese treebank
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
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To facilitate the application of semantics in statistical machine translation, we propose a broad-coverage predicate-argument structure mapping technique using automated resources. Our approach utilizes automatic syntactic and semantic parsers to generate Chinese-English predicate-argument structures. The system produced a many-to-many argument mapping for all PropBank argument types by computing argument similarity based on automatic word alignment, achieving 80.5% F-score on numbered argument mapping and 64.6% F-score on all arguments. By measuring predicate-argument structure similarity based on the argument mapping, and formulating the predicate-argument structure mapping problem as a linear-assignment problem, the system achieved 84.9% F-score using automatic SRL, only 3.7% F-score lower than using gold standard SRL. The mapping output covered 49.6% of the annotated Chinese predicates (which contains predicate-adjectives that often have no parallel annotations in English) and 80.7% of annotated English predicates, suggesting its potential as a valuable resource for improving word alignment and reranking MT output.